Targeter analysis

(CVXPY) Sep 12 03:45:04 PM: Encountered unexpected exception importing solver GLOP:
RuntimeError('Unrecognized new version of ortools (9.7.2996). Expected < 9.5.0.Please open a feature request on cvxpy to enable support for this version.')
(CVXPY) Sep 12 03:45:04 PM: Encountered unexpected exception importing solver PDLP:
RuntimeError('Unrecognized new version of ortools (9.7.2996). Expected < 9.5.0.Please open a feature request on cvxpy to enable support for this version.')
/tmp/targeter_0aflc7sm

Introduction

This report contains a snapshot of the specific subpopulation «r label(object$target,metadata) » == `r object$target_reference_level``.

This subpopulation is characterized by performing bivariate analyses, crossing the variable of interest (target) with potential explanatory variables. Only most relevant (highest discriminative power) may be retained.

Report contains:

  • A summary overview table with selected retained criteria with some available information such as one statistic called information value (IV) that provides an idea of the explanatory power of the criteria.
  • Detailed analyses per criteria with graphics that highlight the reation between one of the candidate criteria and the target.

It can happen that one criteria contains some missing values. If such, we will introduce value “[Missing]” in the report, eventually with a cross [x]. Also, if two few data are available, we would use a minus [-] instead of reporting value.

Summary table interpretation

Criteria are sorted by decreasing importance order, which one is determined by the IV. One modality (value) index is also computed as the proportion of target «r label(object$target,metadata)» within the modality, that is the target penetration in the subpopulation selected by the specific modality of a criteria. A value near 1 would indicate a non-discriminative modality: selecting the corresponding subpopulation would result in the overall average target penetration. On the other way, the hightest the index (>1), the more target is over-representated in the subpopulation. Low index (<1) would be interpreted as under-representation. So high index modalities are of interest as they characterize subpopulation with high target penetration.

Note that index will always be computed for segments (modalities): continuous variables are cut into buckets. If a criteria/variable has no segment with any high index, it will not be of interest at all. Also, having one segment with an index greater than 1 implies that there are counterparts segments with index lower 1.

There is no special rule to say that an index is a good one as its interpretation has to take into account the natural (average) target pourcentage (penetration). Indeed, when the penetration is low, it is easier to observe eventually high index. Think that for a global penetration of 50% of target, maximal index is 2 (and more generally, index is bounded by 1/(target penetration))

For this report, we selected a maximum of r ntop potential criteria.

For every criteria, summary table presents its possible value (modality) having the highest index along with the corresponding number of records. Pay attention that you might observe high index dealing with very restrictive sub-populations.

Population description

Target description

Target analysis :

Summary view

name n_bins qs Max bin MaxBin Mean MaxBin N Selected MaxBin mean
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Variables

carTypeB_age

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 77931 0.779146 225.289465 2.526635
1 [9.00, 29.50) 5392 0.053909 380.562278 157.799449
2 [29.50, 51.50) 11386 0.113836 173.469636 -49.293193
3 [51.50, inf) 5312 0.053109 131.176692 -91.586137
4 Special 0 0.000000 0.000000 -222.762829
5 Missing 0 0.000000 0.000000 -222.762829

group1_bm

Bin Count Count (%) Mean WoE
0 (-inf, -690.00) 8646 0.086442 146.601821 -76.161009
1 [-690.00, -515.00) 10633 0.106308 100.767946 -121.994883
2 [-515.00, -430.00) 7713 0.077114 151.565227 -71.197603
3 [-430.00, -175.00) 23362 0.233571 164.355499 -58.407330
4 [-175.00, 165.00) 27948 0.279421 283.668493 60.905663
5 [165.00, 465.00) 8199 0.081973 297.171310 74.408481
6 [465.00, inf) 13520 0.135172 337.929413 115.166584
7 Special 0 0.000000 0.000000 -222.762829
8 Missing 0 0.000000 0.000000 -222.762829

jobSelf_employed_nYears

Bin Count Count (%) Mean WoE
0 (-inf, 0.50) 82480 0.824627 210.766602 -11.996228
1 [0.50, 4.50) 7859 0.078573 322.793938 100.031108
2 [4.50, inf) 9682 0.096800 243.761010 20.998180
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

carCatSmall_density

Bin Count Count (%) Mean WoE
0 (-inf, 7.19) 71774 0.717589 198.457574 -24.305256
1 [7.19, 148.53) 19412 0.194079 246.042699 23.279870
2 [148.53, inf) 8835 0.088331 369.064649 146.301820
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

carCatMedium_age

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 63377 0.633637 227.415692 4.652862
1 [9.00, 27.50) 7273 0.072715 426.035364 203.272535
2 [27.50, 40.50) 13347 0.133442 192.225495 -30.537334
3 [40.50, 54.50) 10896 0.108937 138.701662 -84.061167
4 [54.50, inf) 5128 0.051269 135.053525 -87.709304
5 Special 0 0.000000 0.000000 -222.762829
6 Missing 0 0.000000 0.000000 -222.762829

jobHousewife_age

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 80011 0.799942 220.610354 -2.152475
1 [9.00, 40.50) 10150 0.101479 298.471770 75.708940
2 [40.50, inf) 9860 0.098579 162.293857 -60.468972
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

carCatSmall_carVal

Bin Count Count (%) Mean WoE
0 (-inf, 2812.50) 72867 0.728517 198.739435 -24.023395
1 [2812.50, 15477.50) 13979 0.139761 274.292452 51.529623
2 [15477.50, 21147.50) 5143 0.051419 379.972742 157.209912
3 [21147.50, inf) 8032 0.080303 250.358638 27.595808
4 Special 0 0.000000 0.000000 -222.762829
5 Missing 0 0.000000 0.000000 -222.762829

uwYear_bm

Bin Count Count (%) Mean WoE
0 (-inf, -100475.00) 12377 0.123744 149.019757 -73.743072
1 [-100475.00, -90425.00) 12252 0.122494 124.808335 -97.954494
2 [-90425.00, -80380.00) 6178 0.061767 108.360851 -114.401979
3 [-80380.00, -70330.00) 6281 0.062797 124.266132 -98.496697
4 [-70330.00, -50235.00) 13424 0.134212 154.523032 -68.239797
5 [-50235.00, -30140.00) 6607 0.066056 252.827027 30.064198
6 [-30140.00, -10045.00) 6747 0.067456 275.538582 52.775753
7 [-10045.00, 120570.00) 24579 0.245738 325.499075 102.736245
8 [120570.00, inf) 11576 0.115736 332.859093 110.096264
9 Special 0 0.000000 0.000000 -222.762829
10 Missing 0 0.000000 0.000000 -222.762829

age_nYears

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 13739 0.137361 253.514309 30.751480
1 [9.00, 39.50) 6336 0.063347 347.810152 125.047322
2 [39.50, 122.50) 21720 0.217154 239.242189 16.479360
3 [122.50, 163.00) 8071 0.080693 238.230781 15.467952
4 [163.00, 342.50) 24870 0.248648 228.259788 5.496959
5 [342.50, 429.50) 7727 0.077254 161.873124 -60.889706
6 [429.50, 618.00) 10675 0.106728 157.910811 -64.852018
7 [618.00, inf) 6883 0.068816 125.205476 -97.557354
8 Special 0 0.000000 0.000000 -222.762829
9 Missing 0 0.000000 0.000000 -222.762829

uwYear_carCatMedium

Bin Count Count (%) Mean WoE
0 (-inf, 1004.50) 63377 0.633637 227.415692 4.652862
1 [1004.50, 2009.50) 18384 0.183801 198.447104 -24.315725
2 [2009.50, inf) 18260 0.182562 231.094475 8.331645
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

jobUnemployed_age

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 84699 0.846812 208.260718 -14.502111
1 [9.00, 28.50) 5168 0.051669 527.111965 304.349136
2 [28.50, inf) 10154 0.101519 188.829207 -33.933622
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

cover

Bin Count Count (%) Mean WoE
0 [1] 51225 0.512142 185.828115 -36.934714
1 [0] 48796 0.487858 261.536104 38.773275
2 Special 0 0.000000 0.000000 -222.762829
3 Missing 0 0.000000 0.000000 -222.762829

carCatSmall_group1

Bin Count Count (%) Mean WoE
0 (-inf, 1.50) 72454 0.724388 198.141746 -24.621083
1 [1.50, 7.50) 7154 0.071525 235.771717 13.008888
2 [7.50, 11.50) 8289 0.082873 328.575870 105.813040
3 [11.50, inf) 12124 0.121215 289.881445 67.118616
4 Special 0 0.000000 0.000000 -222.762829
5 Missing 0 0.000000 0.000000 -222.762829

jobSelf_employed_bm

Bin Count Count (%) Mean WoE
0 (-inf, -45.00) 5253 0.052519 163.321003 -59.441827
1 [-45.00, -25.00) 5380 0.053789 167.597995 -55.164834
2 [-25.00, 5.00) 83637 0.836194 218.089722 -4.673108
3 [5.00, inf) 5751 0.057498 396.624667 173.861838
4 Special 0 0.000000 0.000000 -222.762829
5 Missing 0 0.000000 0.000000 -222.762829

jobSelf_employed_age

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 79649 0.796323 207.151125 -15.611705
1 [9.00, 32.50) 5166 0.051649 475.188554 252.425725
2 [32.50, 41.50) 5568 0.055668 246.411346 23.648517
3 [41.50, inf) 9638 0.096360 202.815791 -19.947038
4 Special 0 0.000000 0.000000 -222.762829
5 Missing 0 0.000000 0.000000 -222.762829

bm_carVal

Bin Count Count (%) Mean WoE
0 (-inf, -1246700.00) 6337 0.063357 141.479066 -81.283763
1 [-1246700.00, -996950.00) 5023 0.050219 70.319447 -152.443382
2 [-996950.00, -727625.00) 8989 0.089871 126.955083 -95.807746
3 [-727625.00, -487300.00) 10455 0.104528 145.778400 -76.984429
4 [-487300.00, -382550.00) 7324 0.073225 180.714983 -42.047846
5 [-382550.00, -235150.00) 11201 0.111986 182.462597 -40.300233
6 [-235150.00, 190425.00) 27759 0.277532 280.799754 58.036924
7 [190425.00, 1596925.00) 17556 0.175523 285.418264 62.655435
8 [1596925.00, inf) 5377 0.053759 407.855240 185.092410
9 Special 0 0.000000 0.000000 -222.762829
10 Missing 0 0.000000 0.000000 -222.762829

group1_cover

Bin Count Count (%) Mean WoE
0 (-inf, 0.50) 48796 0.487858 261.536104 38.773275
1 [0.50, 6.50) 10263 0.102608 160.249293 -62.513536
2 [6.50, 11.50) 17697 0.176933 183.536933 -39.225896
3 [11.50, inf) 23265 0.232601 198.854657 -23.908172
4 Special 0 0.000000 0.000000 -222.762829
5 Missing 0 0.000000 0.000000 -222.762829

uwYear_cover

Bin Count Count (%) Mean WoE
0 (-inf, 1004.50) 48796 0.487858 261.536104 38.773275
1 [1004.50, 2009.50) 25573 0.255676 169.911178 -52.851651
2 [2009.50, inf) 25652 0.256466 201.696033 -21.066796
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

carCatSmall_age

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 71774 0.717589 198.457574 -24.305256
1 [9.00, 24.50) 5976 0.059747 566.738023 343.975194
2 [24.50, 34.50) 8879 0.088771 270.786656 48.023827
3 [34.50, 45.50) 7951 0.079493 200.241123 -22.521706
4 [45.50, inf) 5441 0.054399 120.126582 -102.636248
5 Special 0 0.000000 0.000000 -222.762829
6 Missing 0 0.000000 0.000000 -222.762829

genderMale_age

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 36578 0.365703 207.489704 -15.273125
1 [9.00, 22.50) 5345 0.053439 632.353024 409.590194
2 [22.50, 27.50) 6362 0.063607 347.639384 124.876555
3 [27.50, 34.50) 10319 0.103168 248.465452 25.702623
4 [34.50, 40.50) 9685 0.096830 221.923977 -0.838852
5 [40.50, 47.50) 10539 0.105368 166.614000 -56.148829
6 [47.50, 63.50) 15066 0.150628 129.585859 -93.176970
7 [63.50, inf) 6127 0.061257 110.700125 -112.062704
8 Special 0 0.000000 0.000000 -222.762829
9 Missing 0 0.000000 0.000000 -222.762829

bm_density

Bin Count Count (%) Mean WoE
0 (-inf, -7426.39) 11772 0.117695 188.205491 -34.557338
1 [-7426.39, -3883.50) 14787 0.147839 152.901949 -69.860880
2 [-3883.50, -3017.04) 6075 0.060737 111.580713 -111.182116
3 [-3017.04, -1544.02) 14934 0.149309 168.647571 -54.115258
4 [-1544.02, -1197.94) 5585 0.055838 183.243351 -39.519478
5 [-1197.94, 284.40) 19234 0.192300 275.791860 53.029030
6 [284.40, 5881.50) 17086 0.170824 278.111404 55.348574
7 [5881.50, 11375.33) 5238 0.052369 278.562962 55.800133
8 [11375.33, inf) 5310 0.053089 389.659160 166.896330
9 Special 0 0.000000 0.000000 -222.762829
10 Missing 0 0.000000 0.000000 -222.762829

age_group1

Bin Count Count (%) Mean WoE
0 (-inf, 151.00) 11689 0.116865 262.263101 39.500272
1 [151.00, 221.00) 9689 0.096870 366.494769 143.731939
2 [221.00, 252.50) 5220 0.052189 280.610423 57.847593
3 [252.50, 349.00) 15080 0.150768 245.828416 23.065587
4 [349.00, 409.00) 9722 0.097200 245.713805 22.950976
5 [409.00, 491.00) 10970 0.109677 210.642897 -12.119933
6 [491.00, 586.50) 10868 0.108657 176.414553 -46.348276
7 [586.50, 801.50) 16017 0.160136 162.325686 -60.437143
8 [801.50, 937.00) 5223 0.052219 123.570510 -99.192319
9 [937.00, inf) 5543 0.055418 113.708458 -109.054372
10 Special 0 0.000000 0.000000 -222.762829
11 Missing 0 0.000000 0.000000 -222.762829

job

Bin Count Count (%) Mean WoE
0 [Retired] 13167 0.131642 62.636098 -160.126732
1 [Employed] 31150 0.311435 205.568479 -17.194350
2 [Housewife] 20010 0.200058 231.369610 8.606780
3 [Self-employed] 20372 0.203677 283.800365 61.037536
4 [Unemployed] 15322 0.153188 302.929540 80.166710
5 Special 0 0.000000 0.000000 -222.762829
6 Missing 0 0.000000 0.000000 -222.762829

jobSelf_employed_density

Bin Count Count (%) Mean WoE
0 (-inf, 23.07) 80172 0.801552 206.899384 -15.863446
1 [23.07, 148.53) 13491 0.134882 253.660308 30.897479
2 [148.53, inf) 6358 0.063567 357.233777 134.470948
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

gender

Bin Count Count (%) Mean WoE
0 [Female] 36578 0.365703 207.489704 -15.273125
1 [Male] 63443 0.634297 231.568535 8.805706
2 Special 0 0.000000 0.000000 -222.762829
3 Missing 0 0.000000 0.000000 -222.762829

carCatSmall_bm

Bin Count Count (%) Mean WoE
0 (-inf, -35.00) 8809 0.088072 157.162729 -65.600100
1 [-35.00, 15.00) 83718 0.837004 217.102949 -5.659880
2 [15.00, inf) 7494 0.074924 363.102449 140.339620
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

jobHousewife_density

Bin Count Count (%) Mean WoE
0 (-inf, 22.89) 80534 0.805171 220.585186 -2.177644
1 [22.89, 58.86) 5237 0.052359 147.642760 -75.120069
2 [58.86, 151.84) 8098 0.080963 220.675886 -2.086943
3 [151.84, inf) 6152 0.061507 317.964100 95.201270
4 Special 0 0.000000 0.000000 -222.762829
5 Missing 0 0.000000 0.000000 -222.762829

genderMale_cover

Bin Count Count (%) Mean WoE
0 [1] 32827 0.328201 200.299477 -22.463352
1 [0] 67194 0.671799 233.737090 10.974261
2 Special 0 0.000000 0.000000 -222.762829
3 Missing 0 0.000000 0.000000 -222.762829

age_bm

Bin Count Count (%) Mean WoE
0 (-inf, -2755.00) 6837 0.068356 122.758076 -100.004753
1 [-2755.00, -2420.00) 5165 0.051639 61.997296 -160.765533
2 [-2420.00, -1835.00) 15205 0.152018 125.460276 -97.302553
3 [-1835.00, -1210.00) 17579 0.175753 141.755331 -81.007498
4 [-1210.00, -505.00) 11952 0.119495 197.200080 -25.562749
5 [-505.00, -205.00) 6212 0.062107 302.372005 79.609176
6 [-205.00, inf) 37071 0.370632 336.830332 114.067502
7 Special 0 0.000000 0.000000 -222.762829
8 Missing 0 0.000000 0.000000 -222.762829

genderMale_bm

Bin Count Count (%) Mean WoE
0 (-inf, -45.00) 16031 0.160276 130.520416 -92.242413
1 [-45.00, -35.00) 8057 0.080553 115.464656 -107.298173
2 [-35.00, -25.00) 8733 0.087312 171.191170 -51.571660
3 [-25.00, 45.00) 57996 0.579838 254.353527 31.590697
4 [45.00, inf) 9204 0.092021 327.226186 104.463357
5 Special 0 0.000000 0.000000 -222.762829
6 Missing 0 0.000000 0.000000 -222.762829

carCatSmall_jobUnemployed

Bin Count Count (%) Mean WoE
0 [0] 94999 0.949791 212.814935 -9.947894
1 [1] 5022 0.050209 410.942842 188.180012
2 Special 0 0.000000 0.000000 -222.762829
3 Missing 0 0.000000 0.000000 -222.762829

age

Bin Count Count (%) Mean WoE
0 (-inf, 20.50) 5234 0.052329 690.958482 468.195653
1 [20.50, 25.50) 10158 0.101559 382.568301 159.805472
2 [25.50, 28.50) 6822 0.068206 288.296670 65.533840
3 [28.50, 36.50) 19621 0.196169 219.182433 -3.580396
4 [36.50, 38.50) 5122 0.051209 174.694828 -48.068001
5 [38.50, 42.50) 10280 0.102778 165.466348 -57.296481
6 [42.50, 51.50) 18895 0.188910 153.706936 -69.055893
7 [51.50, 64.50) 16043 0.160396 137.071609 -85.691221
8 [64.50, inf) 7846 0.078444 103.479953 -119.282876
9 Special 0 0.000000 0.000000 -222.762829
10 Missing 0 0.000000 0.000000 -222.762829

genderMale_carCatSmall

Bin Count Count (%) Mean WoE
0 [0] 82407 0.823897 204.237545 -18.525285
1 [1] 17614 0.176103 309.433269 86.670440
2 Special 0 0.000000 0.000000 -222.762829
3 Missing 0 0.000000 0.000000 -222.762829

jobUnemployed_group1

Bin Count Count (%) Mean WoE
0 (-inf, 4.50) 86536 0.865178 208.859876 -13.902953
1 [4.50, 10.50) 5649 0.056478 328.244806 105.481977
2 [10.50, inf) 7836 0.078344 300.256224 77.493395
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

uwYear

Bin Count Count (%) Mean WoE
0 [2009] 50021 0.500105 208.471547 -14.291282
1 [2010] 50000 0.499895 237.060114 14.297285
2 Special 0 0.000000 0.000000 -222.762829
3 Missing 0 0.000000 0.000000 -222.762829

uwYear_carCatSmall

Bin Count Count (%) Mean WoE
0 (-inf, 1004.50) 71774 0.717589 198.457574 -24.305256
1 [1004.50, 2009.50) 14036 0.140331 271.608306 48.845477
2 [2009.50, inf) 14211 0.142080 297.274848 74.512019
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

uwYear_density

Bin Count Count (%) Mean WoE
0 (-inf, 60423.64) 9971 0.099689 218.291416 -4.471414
1 [60423.64, 103143.71) 15523 0.155197 184.119598 -38.643232
2 [103143.71, 120564.29) 5505 0.055038 161.129442 -61.633387
3 [120564.29, 132895.24) 5287 0.052859 182.160099 -40.602730
4 [132895.24, 267843.53) 26617 0.266114 195.878273 -26.884557
5 [267843.53, 298254.22) 5067 0.050659 220.080212 -2.682617
6 [298254.22, 425674.30) 15077 0.150738 256.529541 33.766712
7 [425674.30, 479964.33) 6533 0.065316 259.880793 37.117964
8 [479964.33, inf) 10441 0.104388 335.394615 112.631786
9 Special 0 0.000000 0.000000 -222.762829
10 Missing 0 0.000000 0.000000 -222.762829

carCat

Bin Count Count (%) Mean WoE
0 [Large] 35130 0.351226 181.498925 -41.263904
1 [Medium] 36644 0.366363 214.715552 -8.047278
2 [Small] 28247 0.282411 284.521084 61.758254
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

uwYear_age

Bin Count Count (%) Mean WoE
0 (-inf, 41194.50) 5234 0.052329 690.958482 468.195653
1 [41194.50, 51242.00) 10158 0.101559 382.568301 159.805472
2 [51242.00, 57270.50) 6822 0.068206 288.296670 65.533840
3 [57270.50, 73346.50) 19621 0.196169 219.182433 -3.580396
4 [73346.50, 85403.50) 15402 0.153988 168.535318 -54.227511
5 [85403.50, 105498.50) 20628 0.206237 155.559421 -67.203408
6 [105498.50, 129612.50) 14310 0.143070 132.386628 -90.376202
7 [129612.50, inf) 7846 0.078444 103.479953 -119.282876
8 Special 0 0.000000 0.000000 -222.762829
9 Missing 0 0.000000 0.000000 -222.762829

carTypeD_age

Bin Count Count (%) Mean WoE
0 (-inf, 9.00) 80424 0.804071 215.748200 -7.014629
1 [9.00, 40.50) 10178 0.101759 343.873186 121.110357
2 [40.50, inf) 9419 0.094170 151.787494 -70.975336
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

jobSelf_employed_carVal

Bin Count Count (%) Mean WoE
0 (-inf, 1122.50) 79715 0.796983 206.980303 -15.782526
1 [1122.50, 16407.50) 11345 0.113426 253.991146 31.228317
2 [16407.50, inf) 8961 0.089591 323.624208 100.861379
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829

age_density

Bin Count Count (%) Mean WoE
0 (-inf, 915.02) 6808 0.068066 346.948032 124.185203
1 [915.02, 1474.39) 11757 0.117545 223.009798 0.246969
2 [1474.39, 7101.72) 58215 0.582028 219.478373 -3.284456
3 [7101.72, 8257.77) 5603 0.056018 199.768414 -22.994416
4 [8257.77, 11648.46) 10685 0.106828 198.980792 -23.782038
5 [11648.46, inf) 6953 0.069515 183.326170 -39.436659
6 Special 0 0.000000 0.000000 -222.762829
7 Missing 0 0.000000 0.000000 -222.762829

jobUnemployed_carVal

Bin Count Count (%) Mean WoE
0 (-inf, 9532.50) 89619 0.896002 210.633926 -12.128903
1 [9532.50, inf) 10402 0.103998 327.260059 104.497230
2 Special 0 0.000000 0.000000 -222.762829
3 Missing 0 0.000000 0.000000 -222.762829

nYears_cover

Bin Count Count (%) Mean WoE
0 (-inf, 0.50) 55471 0.554594 253.145879 30.383049
1 [0.50, 3.50) 15732 0.157287 210.581279 -12.181551
2 [3.50, 6.50) 9489 0.094870 171.726005 -51.036824
3 [6.50, 11.50) 11747 0.117445 152.621263 -70.141566
4 [11.50, inf) 7582 0.075804 198.297442 -24.465387
5 Special 0 0.000000 0.000000 -222.762829
6 Missing 0 0.000000 0.000000 -222.762829

carCatSmall_jobSelf_employed

Bin Count Count (%) Mean WoE
0 [0] 94458 0.944382 216.260536 -6.502293
1 [1] 5563 0.055618 333.169738 110.406909
2 Special 0 0.000000 0.000000 -222.762829
3 Missing 0 0.000000 0.000000 -222.762829

bm

Bin Count Count (%) Mean WoE
0 (-inf, -45.00) 24629 0.246238 136.975486 -85.787343
1 [-45.00, -35.00) 12459 0.124564 116.379237 -106.383593
2 [-35.00, -25.00) 13424 0.134212 154.523032 -68.239797
3 [-25.00, -15.00) 6607 0.066056 252.827027 30.064198
4 [-15.00, -5.00) 6747 0.067456 275.538582 52.775753
5 [-5.00, 85.00) 28696 0.286900 325.853982 103.091153
6 [85.00, inf) 7459 0.074574 335.556072 112.793243
7 Special 0 0.000000 0.000000 -222.762829
8 Missing 0 0.000000 0.000000 -222.762829

jobUnemployed_density

Bin Count Count (%) Mean WoE
0 (-inf, 7.19) 84699 0.846812 208.260718 -14.502111
1 [7.19, 136.97) 9683 0.096810 263.330519 40.567690
2 [136.97, inf) 5639 0.056378 370.926936 148.164107
3 Special 0 0.000000 0.000000 -222.762829
4 Missing 0 0.000000 0.000000 -222.762829